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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your
cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?

A) The location of the InsputSplit to be processed in relation to the location of the node.
B) The amount of RAM installed on the TaskTracker node.
C) The number and speed of CPU cores on the TaskTracker node.
D) The amount of free disk space on the TaskTracker node.
E) The average system load on the TaskTracker node over the past fifteen (15) minutes.

2. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Reduce complexity of the MapReduce APIs.
B) Single point of failure in the NameNode.
C) Standardize on a single MapReduce API.
D) Resource pressure on the JobTracker.
E) Ability to run frameworks other than MapReduce, such as MPI.
F) HDFS latency.

3. Which one of the following statements describes the relationship between the NodeManager and the
ApplicationMaster?

A) The ApplicationMaster starts the NodeManager outside of a Container
B) The ApplicationMaster starts the NodeManager in a Container
C) The NodeManager creates an instance of the ApplicationMaster
D) The NodeManager requests resources from the ApplicationMaster

4. The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:

A) IdentityMapper
B) IdentityReducer
C) Speculative Execution
D) Default Partitioner
E) Combine

5. What is the term for the process of moving map outputs to the reducers?

A) Shuffling and sorting
B) Combining
C) Reducing
D) Partitioning

Solutions: